#IoT
https://telegra.ph/The-5-Worst-Examples-of-IoT-Hacking-and-Vulnerabilities-in-Recorded-History-11-25
https://telegra.ph/The-5-Worst-Examples-of-IoT-Hacking-and-Vulnerabilities-in-Recorded-History-11-25
Telegraph
The 5 Worst Examples of IoT Hacking and Vulnerabilities in Recorded History
IoT hacking can be extremely effective, producing DDoS attacks that can cripple our infrastructure, systems, and way of life. IoT is in no way immune to hacking. Hackers can launch DDoS attacks by infiltrating and leveraging thousands or millions of unsecured…
This book is written by Peter Waher. Experiencing a change brought by someone is easy, but bringing that change is difficult. This book is a must read for people who want to create IOT products and change the world. Books listed above are good enough to make you familiar with the impact and applications of IOT devices. But, this book comprises of step wise tutorial based on Raspberry Pi. In this book, you will learn about popular protocols, network topology, scalability, communication patterns and much more. To download write to me: @vasylzelinskiy
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https://t.iss.one/joinchat/AAAAAENslt655c5v1w41iQ
https://t.iss.one/joinchat/AAAAAENslt655c5v1w41iQ
How Customer Service Can Benefit from Digital Twins
An interview with Manuel Grenacher, CEO of Coresystems FSM AG, on the potential of digitalization in the service sector.
Q: Please briefly explain what a “digital twin” is.
Grenacher: Simply put, “digital twins” emulate a system in a computer. Ideally, data from the engineering phase—from 3D models to detailed information on poorly constructed components—are included in the operational phase. Sensors deliver live information about operational statuses, and all technical improvements to the systems, like the installation of a replacement part, are also tracked in the “digital twin.” Since it’s always up-to-date, it serves as a detailed “reference book” with all system information.
Q: How important do you think “digital twins” are for service?
Grenacher: They make it possible to execute predictive maintenance: by collecting data you are able to assign measurement data to a specific system status. By means of changing measurement status, it is often incredibly clear in advance that a specific component will malfunction in the near future. This information lets you better coordinate planned system downtimes and adjust repair cycles to accommodate anticipated potential breakdowns.
Q: What system features should a “digital twin” reproduce in order to deliver relevant information for the service sector? Is this already the case with today’s IoT technology?
Grenacher: Imminent component malfunctions can already be predicted really well today with enough sensors within the system and systematic data analysis. However, there are more technical possibilities than we frequently find in plants and factories. Companies are only gradually investing in systems equipped with modern IoT technology because of ongoing write-offs or other economical reasons. Thanks to economies of scale, the costs for this infrastructure will continue to drop rapidly in the years to come. I expect the future will bring the increased spread of sensors that will simultaneously be easier to deploy, more durable, and more affordable.
Q: What is the advantage for customers if the service sector can access the data of a “digital twin”?
Grenacher: By and large, unforeseen system downtimes can be avoided thanks to predictive maintenance. It is also possible to acquire insight into how certain harmful operational conditions can be prevented, for example increased temperatures that lead to faster wear-and-tear. Measures like these help you significantly extend error-free operations.
Q: Please describe how the increased use of “digital twins” will change the service sector in the years to come.
Grenacher: The massive data provided by digital twins offer the potential to create entirely new application areas, both in the service and business intelligence sectors. The use of sensors makes it possible to display machine statuses and achieved product quality in real-time—as well as predictions about problems when they are still in the early stages. In this way, the service sector can intervene before there are expensive machine malfunctions. Maintenance intervals can also be dynamically adjusted to actual demand based on live information.
Q: What will a “digital twin“ look like in ten or fifteen years compared to today? What technological changes will play an important role?
An interview with Manuel Grenacher, CEO of Coresystems FSM AG, on the potential of digitalization in the service sector.
Q: Please briefly explain what a “digital twin” is.
Grenacher: Simply put, “digital twins” emulate a system in a computer. Ideally, data from the engineering phase—from 3D models to detailed information on poorly constructed components—are included in the operational phase. Sensors deliver live information about operational statuses, and all technical improvements to the systems, like the installation of a replacement part, are also tracked in the “digital twin.” Since it’s always up-to-date, it serves as a detailed “reference book” with all system information.
Q: How important do you think “digital twins” are for service?
Grenacher: They make it possible to execute predictive maintenance: by collecting data you are able to assign measurement data to a specific system status. By means of changing measurement status, it is often incredibly clear in advance that a specific component will malfunction in the near future. This information lets you better coordinate planned system downtimes and adjust repair cycles to accommodate anticipated potential breakdowns.
Q: What system features should a “digital twin” reproduce in order to deliver relevant information for the service sector? Is this already the case with today’s IoT technology?
Grenacher: Imminent component malfunctions can already be predicted really well today with enough sensors within the system and systematic data analysis. However, there are more technical possibilities than we frequently find in plants and factories. Companies are only gradually investing in systems equipped with modern IoT technology because of ongoing write-offs or other economical reasons. Thanks to economies of scale, the costs for this infrastructure will continue to drop rapidly in the years to come. I expect the future will bring the increased spread of sensors that will simultaneously be easier to deploy, more durable, and more affordable.
Q: What is the advantage for customers if the service sector can access the data of a “digital twin”?
Grenacher: By and large, unforeseen system downtimes can be avoided thanks to predictive maintenance. It is also possible to acquire insight into how certain harmful operational conditions can be prevented, for example increased temperatures that lead to faster wear-and-tear. Measures like these help you significantly extend error-free operations.
Q: Please describe how the increased use of “digital twins” will change the service sector in the years to come.
Grenacher: The massive data provided by digital twins offer the potential to create entirely new application areas, both in the service and business intelligence sectors. The use of sensors makes it possible to display machine statuses and achieved product quality in real-time—as well as predictions about problems when they are still in the early stages. In this way, the service sector can intervene before there are expensive machine malfunctions. Maintenance intervals can also be dynamically adjusted to actual demand based on live information.
Q: What will a “digital twin“ look like in ten or fifteen years compared to today? What technological changes will play an important role?